solution brief
Unify AI Resilience Securely
Commvault® Cloud delivers end-to-end resilience for enterprise AI stacks — protecting data lakes, vector databases, models, and compute infrastructure with AI-enabled threat detection and composite Cleanpoint™ recovery. It connects AI ecosystems securely through Data Activate and MCP Server integrations, helping organizations scale AI adoption without introducing unmanaged security risk.
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100,000+ customers worldwide
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14x Leader in Gartner Magic Quadrant
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SOC 2 Type II Certified, ISO/IEC 27001: 2013 Certified, FedRAMP High Authorized
AI-era risk, amplified
AI adds new attack paths
Data, models, and pipelines now sprawl across hybrid environments—expanding attack surface and making integrity, governance, and recovery harder to prove.
Trust and integrity erode
Data poisoning, adversarial prompts, runtime attacks, and model corruption can quietly change outcomes—then no one trusts what the model returns.
Governance gaps across pipelines
Data lives in lakes, vector stores, GPUs, and tools. Teams can’t track what changed, when, or where—and policy controls don’t follow workloads across environments.
Recovery is slow and risky
After compromise, teams struggle to identify a verified clean point. Manual rebuilds create downtime, reintroduce exposure, and delay safe AI-assisted operations.
From risk to resilience
Unify AI resilience at scale
Commvault Cloud Unity helps protect the full AI stack, uses AI-assisted detection to validate recovery points, and connects AI ecosystems securely with policy governance.
Restore integrity and trust
Protect AI workloads end-to-end with AI-assisted threat and anomaly detection, then recover from validated recovery points so models and training data stay trusted.
Govern hybrid AI pipelines
Apply policy-based controls and unified protection across clouds, regions, and compute—then connect securely through Data Activate and integrations without losing governance.
Recover fast, fully
Use AI-enabled composite cleanpoints and automated recovery to return AI systems to verified, trusted states—reducing downtime and boosting operational confidence.
Flagship capabilities
Protect and extend AI securely
Commvault Cloud helps safeguard the full AI stack with AI-assisted detection and AI-enabled recovery, plus secure connectivity for agentic workflows.
01 AI workload stack protection
Back up and recover AI data lakes, file systems, vector retrieval, and compute/DevOps infrastructure across hybrid environments with policy controls.
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02 Synthetic Recovery™
Use AI-enabled composite cleanpoints to build optimized recovery points from verified data—then automate recovery to trusted states.
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03 Threat and anomaly detection
AI-assisted threat and anomaly detection spots unusual data patterns, user behaviors, and access anomalies across environments to accelerate incident response.
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04 Agent Library workflows
Extend resilience with specialized agents for security-aware recovery, policy recommendations, and resilience insights—reducing manual effort across teams.
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05 MCP Server integrations
Connect to intelligent agentic workflows with MCP Server to automate actions across hybrid environments using open, integration-first design.
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06 Data Activate secure export
Use Data Activate to securely export secondary data to enterprise data lakes for analytics and innovation while maintaining governance and control.
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case study
Prosperity Bank on Arlie® & Smarter Backup Support
This story highlights how AI-enabled assistance can streamline backup administration, reduce operational friction, and empower IT teams to move faster with confidence.
Fast, controlled deployment
Stand up AI resilience in weeks—across data, models, and pipelines
Connect sources, apply policy controls, baseline detection, and validate clean recovery—without slowing AI teams.
Assess AI data landscape
Inventory AI data, vector stores, models, and pipelines; define RPO/RTO, access requirements, and policy controls for regulated data.
Connect sources and secure
Connect cloud, on-prem, and AI platforms; configure credentials, encryption, and identity guardrails; set backup and retention for AI workloads.
Baseline detection and recovery
Enable AI-assisted anomaly and threat detection; establish cleanpoint identification; run parallel restores to validate integrity and recovery workflow.
Go live and validate
Cut over protections, automate recovery runbooks, and validate clean recovery in isolation; operationalize reporting and controls for ongoing governance.
Frequently Asked Questions
What AI stack is protected?
Commvault Cloud Unity helps protect the full AI application stack: data lakes and data pipelines, vector databases and search/retrieval systems, AI data stores and models, plus compute and DevOps infrastructure across hybrid environments with policy-based controls.
How do composite cleanpoints work?
AI-enabled composite cleanpoints assemble an optimized recovery point from verified, uncompromised versions of data across multiple workloads and points in time—so recovery returns AI systems to a trusted state while minimizing data reversion.
How does AI-assisted detection help?
AI-assisted threat and anomaly detection is designed to flag unusual data patterns, user behaviors, and access anomalies linked to AI-era threats like data poisoning, adversarial prompts, runtime attacks, and model corruption—improving response speed and recovery confidence.
How does unified governance apply to hybrid environments?
Policy-based controls apply across on-prem and cloud, helping govern sensitive data as it moves through connected AI data pipelines, vector stores, and compute. This unified approach strengthens integrity and reduces risk created by platform sprawl.
How do Data Activate and MCP help?
Data Activate enables secure export of secondary data to enterprise data lakes for analytics and innovation. MCP Server supports secure, integration-first connections to agentic workflows—extending AI capabilities without introducing new silos or losing control.
How does it fit our ecosystem?
Commvault integrates with AI, cybersecurity, and hyperscaler ecosystems—including Databricks, CrowdStrike, and AWS—so you can protect AI workloads where they run and connect tooling through MCP Server while keeping governance consistent across hybrid environments.
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